1

Phd Signal Processing Jobs in Colorado (NOW HIRING)

Atom Computing is seeking a Senior ASIC Designer to design and develop a digital signal processing ... MS or PhD in Electrical Engineering, or related field. * 5+ years of post-degree experience as a ...

Database/Web Engineer

Centennial, CO · On-site

$85K - $113K/yr

Come join the team that is creating cutting edge signal processing, geolocation, and communication ... Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science * Proficient in ...

GNSS DSP Engineer

Louisville, CO · On-site

$149K - $174K/yr

Drive the implementation of signal processing for spaceborne GNSS remote sensing applications ... years, or PhD plus 5-7 years of professional experience in aerospace or relevant engineering ...

Come join the team that is creating cutting edge signal processing and geolocation systems for the ... Advanced degree (MS or PhD) in Systems Engineering, Aerospace Engineering or related discipline

Showing results 21-40

Phd Signal Processing information

What is a PhD signal processing professional?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What are the key skills and qualifications needed to thrive as a PhD signal processing specialist?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What are some common challenges faced by professionals in PhD-level signal processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

What is the difference between Phd Signal Processing vs Signal Processing Engineer?

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

Is a PhD worth it in electrical engineering?

A PhD in electrical engineering, including signal processing, can lead to advanced research, academic positions, and specialized roles in industry. It typically requires several years of study and research, but can result in higher earning potential and expertise in areas like algorithms, hardware, and data analysis.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, especially for roles involving data analysis, algorithm development, and system design. Professionals with expertise in digital signal processing, machine learning, and programming tools like MATLAB or Python are sought after as technology advances and data-driven solutions expand.

What cities in Colorado are hiring for Phd Signal Processing jobs?

Cities in Colorado with the most Phd Signal Processing job openings:

Infographic showing various Phd Signal Processing job openings in Colorado as of June 2026, with employment types broken down into 2% As Needed, 53% Full Time, 39% Part Time, 4% Contract, and 2% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Jr. Software Engineer

Colorado Springs, CO • On-site

Rincon Research Corp
Guided Missile and Space Vehicle Manufacturing • 201 - 500 employees

$98K - $123K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 15 days ago


Job description

Why Join Rincon Research Corporation (RRC)?


At Rincon Research Corporation, our primary business is innovating, developing, and fielding digital signal processing (DSP) products and services for the United States Defense and Intelligence Communities in support of national security.

Rincon Research Corporation (RRC), an employee-owned company, is seeking an Jr. Software Engineer to work in a multi-disciplinary R&D environment with similarly motivated electrical engineers, mathematicians, and analysts who are collectively responsible for creating custom digital signal processing solutions and leveraging them to make an operational mission impact.

Come join the team that is creating cutting edge signal processing and geolocation systems for the future!

 

What are the primary responsibilities in the Jr. Software Engineer position?


Core responsibilities include designing real-time cloud processing solutions, implementing advanced signal processing and geolocation algorithms with efficient software, testing with real data, and providing applications to front-line customer facilities. You create effective user interfaces and data visualization tools. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into RRC projects. RRC personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. You’re encouraged and expected to propose things that you believe will improve the applications and frameworks you’re working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must.


What required background will make you successful?

  • Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science
  • Proficient in modern software engineering practices for testability and readability
  • Proficient in C++ and Python in LINUX environments
  • Demonstrated ability to design software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements
  • Ability to obtain and maintain TS/SCI security clearance
  • US CITIZENSHIP REQUIRED


Preferred skills: 

  • Agile development processes
  • DevOps and Cloud computing Experience (CI/CD, CVE mitigations, Docker, Kubernetes, PIP)
  • Hands-on experience developing or integrating AI/ML, LLM-powered, or agentic applications.
  • Demonstrated experience developing and maintaining web applications with REACT
  • Experience with Git based revision control systems
  • REST API design
  • Experience with developing GPU code using CUDA libraries
  • Familiarity with additional high-level languages (Shell Scripting, etc.) 
  • Current TS/SCI clearance

 

Where is the position located?

This position can be located at our Centennial, CO; Colorado Springs; Chantilly, VA offices or our Tucson, Arizona Headquarters.

*The likely salary range for this position is $98,000 to $123,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

 

 

What benefits does RRC offer?

 

  • 100% employer-paid premiums for family medical and dental insurance, employee life insurance, short-term and long-term disability (STD & LTD)
  • Flexible reimbursement spending accounts for medical expense and dependent care
  • Immediate participation and vesting in the company’s Employee Stock Ownership Plan (ESOP) and 401(k) Plan
  • Employer contributions to RRC’s ESOP
  • Employer matching contributions to the company’s 401( k) Plan
  • Employer discretionary contributions to the company’s 401(k) Plan


Rincon Research Corporation is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.